Senior Data Platform Engineer - Remote, High-Scale Backend

Liftoff

Utah

Remote

USD 97,000 - 114,000

Full time

7 days ago
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Benefits offered by this job

Equity
Health/vision/dental benefits

Job summary

Liftoff is a leading AI-powered performance marketing platform for the mobile app economy. The software team develops and maintains scalable backend systems, enabling millions of users and advertisers to optimize campaigns.

We offer a remote-first culture with US hubs in Redwood City, Los Angeles, and New York City, and provide equity and comprehensive health benefits. This role supports building high-scale distributed systems and advanced data pipelines.

Qualifications

  • Bachelor's degree in Computer Science or related field.
  • 5+ years software engineering experience.
  • Strong CS fundamentals (data structures, algorithms, architecting systems).
  • Experience with major cloud technologies (AWS, Azure, or GCP).
  • Experience building high-scale distributed backend architectures.
  • Expertise in data.

Responsibilities

  • Have end-to-end ownership of projects and collaborate with a small team of world-class engineers.
  • Ship code multiple times a day and measure its impact on millions of users and revenue.
  • Be part of an engineering excellence culture with risk-driven testing, explainable systems, and code review.

Skills

Go programming
Software engineering
5+ years experience
Data structures and algorithms
Distributed systems
Backend architectures
Data expertise

Education

Bachelor's degree in Computer Science or related field

Tools

AWS
Azure
GCP

Job description

Liftoff is a leading AI-powered performance marketing platform for the mobile app economy. The software team develops and maintains scalable backend systems, enabling millions of users and advertisers to optimize campaigns.

We offer a remote-first culture with US hubs in Redwood City, Los Angeles, and New York City, and provide equity and comprehensive health benefits. This role supports building high-scale distributed systems and advanced data pipelines.

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